BPSK Spread Spectrum Communication Simulation with Jakes Fading Model Implementation

Simulation Procedure: 1. First execute jakesmodel.m to initialize the Jakes fading model parameters and generate Rayleigh fading coefficients 2. Then run bpsk_spread.m to simulate the BPSK spread spectrum communication system 3. During initial execution, bpsk_spread.m operates without Rayleigh fading due to commented-out channel impairment code 4. The resulting bit error rate (BER) performance under AWGN conditions is stored in the BER_awgn variable 5. To enable fading simulation: uncomment the Rayleigh fading code section in bpsk_spread.m 6. Simultaneously comment out BER_awgn (line 112) and uncomment the BER_ray variable for fading scenario data collection 7. Execute the simulation again to capture performance under fading conditions Performance Comparison Analysis: To visualize the DSSS receiver performance comparison between AWGN and fading channels, plot both BER curves using this MATLAB code: semilogy([1:8], BER_awgn(1:8), "g*"); hold on; semilogy([1:8], BER_ray(1:8), "-.b*"); hold on; grid on; The code generates a logarithmic-scale plot where green asterisks represent AWGN performance and blue dotted-line asterisks show Rayleigh fading performance. The grid enhancement facilitates precise BER value reading at different SNR levels. Technical Implementation Notes: - jakesmodel.m implements the Jakes simulator for generating realistic Rayleigh fading waveforms using multiple oscillators - bpsk_spread.m contains configurable DSSS parameters including spreading codes, SNR ranges, and modular fading channel integration - The commenting system allows controlled experimentation by selectively enabling/disabling channel impairment components - BER data is stored in arrays for comparative analysis across 8 different signal-to-noise ratio points File Structure: The package includes two essential MATLAB files: bpsk_spread.m (main simulation system) and jakesmodel.m (fading channel model generator).